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README.md

@@ -3,13 +3,12 @@ base_model: mlx-community/gemma-4-12B-it-qat-4bit
 license: gemma
 library_name: mlx-vlm
 tags:
-  - lora
-  - qlora
   - gemma4
   - agentic
   - coding
   - tool-use
   - mlx
+  - lora-merged
 datasets:
   - greghavens/fable-5-coding-and-debugging-traces
   - greghavens/gpt-5.6-sol-coding-and-debugging-traces
@@ -18,7 +17,7 @@ datasets:
 
 # gemma-4-12b-it-qat-4bit-frontierdistill
 
-A rank-8 LoRA adapter for [mlx-community/gemma-4-12B-it-qat-4bit](https://huggingface.co/mlx-community/gemma-4-12B-it-qat-4bit), fine-tuned for agentic coding and tool use. Trained on Apple Silicon (MLX) via [mlx-vlm](https://github.com/Blaizzy/mlx-vlm).
+[mlx-community/gemma-4-12B-it-qat-4bit](https://huggingface.co/mlx-community/gemma-4-12B-it-qat-4bit) with a rank-8 LoRA adapter fused in, fine-tuned for agentic coding and tool use. Standalone checkpoint — no separate adapter needed. Trained and merged on Apple Silicon (MLX) via [mlx-vlm](https://github.com/Blaizzy/mlx-vlm).
 
 ## Training data
 
@@ -60,7 +59,6 @@ The adapter meaningfully improves tool selection and argument correctness — th
 ```bash
 pip install mlx-vlm
 python -m mlx_vlm.generate \
-    --model mlx-community/gemma-4-12B-it-qat-4bit \
-    --adapter-path gemma-4-12b-it-qat-4bit-frontierdistill \
+    --model True2456/gemma-4-12b-it-qat-4bit-frontierdistill \
     --prompt "Your prompt here"
 ```